no code implementations • 23 Apr 2024 • Markos Diomataris, Nikos Athanasiou, Omid Taheri, Xi Wang, Otmar Hilliges, Michael J. Black
To address this, we introduce WANDR, a data-driven model that takes an avatar's initial pose and a goal's 3D position and generates natural human motions that place the end effector (wrist) on the goal location.
no code implementations • 7 Jan 2024 • Xianghui Xie, Xi Wang, Nikos Athanasiou, Bharat Lal Bhatnagar, Chun-Hao P. Huang, Kaichun Mo, Hao Chen, Xia Jia, Zerui Zhang, Liangxian Cui, Xiao Lin, Bingqiao Qian, Jie Xiao, Wenfei Yang, Hyeongjin Nam, Daniel Sungho Jung, Kihoon Kim, Kyoung Mu Lee, Otmar Hilliges, Gerard Pons-Moll
Modeling the interaction between humans and objects has been an emerging research direction in recent years.
1 code implementation • 7 Dec 2023 • Kiran Chhatre, Radek Daněček, Nikos Athanasiou, Giorgio Becherini, Christopher Peters, Michael J. Black, Timo Bolkart
Once trained, AMUSE synthesizes 3D human gestures directly from speech with control over the expressed emotions and style by combining the content from the driving speech with the emotion and style of another speech sequence.
no code implementations • ICCV 2023 • Nikos Athanasiou, Mathis Petrovich, Michael J. Black, Gül Varol
Motivated by the observation that the correspondence between actions and body parts is encoded in powerful language models, we extract this knowledge by prompting GPT-3 with text such as "what are the body parts involved in the action <action name>?
1 code implementation • 9 Sep 2022 • Nikos Athanasiou, Mathis Petrovich, Michael J. Black, Gül Varol
In particular, our goal is to enable the synthesis of a series of actions, which we refer to as temporal action composition.
1 code implementation • ICCV 2021 • Sai Kumar Dwivedi, Nikos Athanasiou, Muhammed Kocabas, Michael J. Black
For Minimally-Clothed regions, we define the DSR-MC loss, which encourages a tight match between a rendered SMPL body and the minimally-clothed regions of the image.
Ranked #56 on 3D Human Pose Estimation on 3DPW (using extra training data)
1 code implementation • CVPR 2021 • Abhinanda R. Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, Michael J. Black
To address this, we present BABEL, a large dataset with language labels describing the actions being performed in mocap sequences.
Ranked #1 on Action Classification on BABEL
5 code implementations • CVPR 2020 • Muhammed Kocabas, Nikos Athanasiou, Michael J. Black
Human motion is fundamental to understanding behavior.
Ranked #33 on Monocular 3D Human Pose Estimation on Human3.6M
no code implementations • NAACL 2019 • Eleftheria Briakou, Nikos Athanasiou, Alexandros Potamianos
In traditional Distributional Semantic Models (DSMs) the multiple senses of a polysemous word are conflated into a single vector space representation.
1 code implementation • COLING 2018 • Nikos Athanasiou, Elias Iosif, Alex Potamianos, ros
Neural activation models have been proposed in the literature that use a set of example words for which fMRI measurements are available in order to find a mapping between word semantics and localized neural activations.
3 code implementations • SEMEVAL 2018 • Christos Baziotis, Nikos Athanasiou, Pinelopi Papalampidi, Athanasia Kolovou, Georgios Paraskevopoulos, Nikolaos Ellinas, Alexandros Potamianos
In this paper we present two deep-learning systems that competed at SemEval-2018 Task 3 "Irony detection in English tweets".
3 code implementations • SEMEVAL 2018 • Christos Baziotis, Nikos Athanasiou, Alexandra Chronopoulou, Athanasia Kolovou, Georgios Paraskevopoulos, Nikolaos Ellinas, Shrikanth Narayanan, Alexandros Potamianos
In this paper we present deep-learning models that submitted to the SemEval-2018 Task~1 competition: "Affect in Tweets".
3 code implementations • SEMEVAL 2018 • Christos Baziotis, Nikos Athanasiou, Georgios Paraskevopoulos, Nikolaos Ellinas, Athanasia Kolovou, Alexandros Potamianos
In this paper we present a deep-learning model that competed at SemEval-2018 Task 2 "Multilingual Emoji Prediction".